Integrated Decision Control Approach for Cooperative Safety-Critical Payload Transport in a Cluttered Environment
Nishanth Rao, Suresh Sundaram

TL;DR
This paper presents an integrated decision control approach for UAV teams transporting heavy payloads in cluttered environments, combining optimal tracking with safety constraints to ensure collision avoidance and minimal payload oscillations.
Contribution
The paper introduces a novel Integrated Decision Controller (IDC) that combines model predictive control with control barrier functions for safe, efficient payload transport.
Findings
Successful trajectory tracking and obstacle avoidance in simulations
Robustness against noisy data and payload uncertainties demonstrated
Payload oscillations kept within safe limits
Abstract
In this paper, the problem of coordinated transportation of heavy payload by a team of UAVs in a cluttered environment is addressed. The payload is modeled as a rigid body and is assumed to track a pre-computed global flight trajectory from a start point to a goal point. Due to the presence of local dynamic obstacles in the environment, the UAVs must ensure that there is no collision between the payload and these obstacles while ensuring that the payload oscillations are kept minimum. An Integrated Decision Controller (IDC) is proposed, that integrates the optimal tracking control law given by a centralized Model Predictive Controller with safety-critical constraints provided by the Exponential Control Barrier Functions. The entire payload-UAV system is enclosed by a safe convex hull boundary, and the IDC ensures that no obstacle enters this boundary. To evaluate the performance of the…
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Taxonomy
TopicsAdaptive Control of Nonlinear Systems · Stability and Control of Uncertain Systems · Distributed Control Multi-Agent Systems
